> ## Content Index > Fetch the complete content index at: https://aiadoption.org/llms.txt > Use this file to discover other available public pages before exploring further. # Global AI optimism rose to 59% — but nervousness also climbed to 52% - URL: https://aiadoption.org/ai-analysis/global-ai-optimism-rose-to-59-but-nervousness-also-climbed-to-52/ - Published: 2026-09-20T13:32:34.000Z - Updated: 2026-09-20T14:12:14.000Z - Description: Global AI optimism rose from 55% to 59% between 2024 and 2025. Over the same period, nervousness about AI products and services climbed from 50% to 52%. The two sentiments are rising together, not against each other. The narrative of ‘people are warming up to AI’ misses half the data. - Author: Jassie - Tags: AI Analysis, AI Ethics, AI Leadership, AI Strategy If your workforce communication strategy is calibrated on the assumption that the dominant trajectory in public AI sentiment is "people are warming up to AI" and concerns are receding, the 2024-2025 Ipsos AI Monitor data shows the framing is incomplete. Global AI optimism rose from 55% in 2024 to 59% in 2025\. Over the same period, global nervousness about AI products and services climbed from 50% in 2024 to 52% in 2025\. The two sentiments are rising together, not against each other. The narrative that one is replacing the other doesn't match the data; both are intensifying as AI becomes more pervasive in daily life. ## The "rising together" pattern is the key trajectory signal. Three structural data points support it. **The first: across all 11 sentiment measures Ipsos tracks, both positive-leaning and negative-leaning indicators have generally trended upward since 2022.** The proportion of respondents who say they have a good understanding of what AI is has held above 50%. The proportion saying AI products and services should be required to disclose AI use has climbed to 79%. The proportion saying AI will profoundly change daily life over the next 3-5 years is at 53%. The proportion saying AI products make them excited and the proportion saying they make them nervous have both risen. **The second: optimism increases are not uniform across countries.** European countries show the largest 2022-2025 increases: Germany +12pp, France +10pp, Great Britain +5pp. China also rose +9pp despite already-high baseline optimism. These increases are happening even though overall European sentiment remains lower than parts of Asia and Latin America. The pattern: countries that started lower are catching up; countries that started higher are continuing to climb. **The third: excitement and nervousness do not align closely across countries.** The 2025 country-level scatter shows North American and European countries clustered at lower excitement and higher nervousness. China and Indonesia show the highest excitement with nervousness below 50%. Within the same country, individuals frequently report both excitement and nervousness about AI; it is not a binary choice. Workforce communication that assumes employees feel one or the other will miss the actual sentiment landscape. Beneath the headline numbers, the practical-benefit perception is high. 56% of global respondents believe AI will reduce the time it takes to get things done. In China this is 78%. Southeast Asian countries cluster above 60%. The personal-benefit framing of AI, covering time savings, entertainment, and productivity, is well-established. The concern framing focuses on labour market effects, trust, and societal impact. The two framings coexist in the same respondent population. ## **Three structural implications follow for organisations setting workforce AI communication strategy in 2026.** **The first implication: the "optimism vs anxiety" framing of AI communication is the wrong structure.** The 2025 data shows the two sentiments are rising together. Communication that tries to "convert anxious employees to optimistic" misses the fact that many employees are simultaneously optimistic and anxious about AI. The more accurate framework: acknowledge both, address both, build communication that engages with the duality rather than picking a side. **The second implication: regional differences in sentiment matter for multinational workforce communication.** A communications message designed for North American employees, where nervousness exceeds excitement, should not be the same as a message designed for Chinese or Indonesian employees, where excitement substantially exceeds nervousness. The "global AI communication template" approach will under-resonate in high-excitement regions and over-reassure in high-nervousness regions. Regional adaptation is now a communication-strategy requirement. **The third implication: the practical-benefit framing (time savings, productivity, getting-things-done) is the highest-resonance message globally.** The labour-market framing is where the concerns concentrate. Workforce communication that leads with practical benefits and then addresses labour-market concerns explicitly tracks the actual sentiment landscape. Communication that leads with labour-market reassurance frames AI primarily through the concern lens, even if the intent is to allay concerns. Both optimism and nervousness will likely continue to rise through 2026-2028 as AI adoption broadens. The AI awareness surge (US AI awareness rose 26%→47% in three years) is happening globally and is producing both more positive and more negative sentiment in the same populations. The strategic anchor for 2026 workforce communication should expect the dual-trajectory pattern to continue. Plans that prepare to communicate to a workforce that is simultaneously more excited and more anxious about AI will be operationally aligned with the actual sentiment trajectory. A note on the data methodology: the Ipsos AI Monitor surveys 30 countries with a total sample of 23,216 adults. Country composition has changed slightly across years (China 2025 data is provided by Ipsos but may not appear in published reports). Year-over-year changes for any single country should be interpreted with sampling caveats. The aggregate trends of global optimism rising and global nervousness rising are robust to the sampling caveats because they pool across many countries. > For organisations setting global workforce AI communication strategy in 2026, planning needs to engage with the dual-trajectory pattern rather than the simpler optimism-vs-anxiety framing. The complexity is real; the sentiment landscape is more variegated than a single-axis framing suggests. Plans that absorb the complexity will outperform plans that assume sentiment is moving in one direction. Global AI sentiment in 2026-2028 will likely show continued rise in both optimism (from broader AI adoption producing visible practical benefits) and continued rise in nervousness (from broader AI adoption producing visible labour-market and trust concerns). The two patterns will not converge; they will both intensify. Communication strategies that engage with the dual pattern will be aligned; strategies that don't will miss part of the workforce reality. --- ### Sources - **Primary**: Stanford AI Index 2026, Chapter 9 (Public Opinion) 9.1 — [hai.stanford.edu/ai-index/2026](http://hai.stanford.edu/ai-index/2026?ref=aiadoption.org) - **Cross-country sentiment**: [Ipsos AI Monitor](https://www.ipsos.com/?ref=aiadoption.org), 2022–2025 — 30-country survey of 23,216 adults, fielded 21 March–4 April 2025